Pilhwa Lee

The paper develops an electrodiffusion active pump model using immersed boundary methods to simulate ionic transport and volume homeostasis, showing good fit to theoretical predictions and satisfying electroneutrality.

This paper evaluates how Sinkhorn divergence affects optimal transport in single-cell RNA-seq analysis of cellular dynamics, showing its effectiveness depends on temporal sparsity.

The paper identifies leptin-hyperpolarized neurons in the PMv that coexpress DAT and prolactin receptor, and shows they inhibit reproduction via AgRP, with computational modeling linking these findings to metabolic control of reproduction.

The paper uses dynamic network analysis to study how human fibroblasts respond to physical and biochemical cues, identifying key transcription factors involved in mechanotransduction pathways.

The paper develops a computational model to study electrical propagation of vasodilatory signals in capillary networks and shows how oxygen tension and agonist distribution regulate blood flow.